Triple
T23255406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harrietsham |
E581854
|
entity |
| Predicate | civilParish |
P2739
|
FINISHED |
| Object | Harrietsham |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Harrietsham | Statement: [Harrietsham, civilParish, Harrietsham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harrietsham Context triple: [Harrietsham, civilParish, Harrietsham]
-
A.
Harrietsham
chosen
Harrietsham is a rural village and civil parish in the Maidstone district of Kent, England, known for its historic buildings and position on the North Downs.
-
B.
Shottisham
Shottisham is a small rural village and civil parish in the English county of Suffolk, known for its traditional countryside character and historic church.
-
C.
Somersham
Somersham is a small rural village and civil parish located in the English county of Suffolk.
-
D.
Somersham
Somersham is a village in Cambridgeshire, England, known for its rural setting and historic parish community.
-
E.
Harnham
Harnham is a suburb of Salisbury in Wiltshire, England, known for its historic buildings and scenic riverside setting near Salisbury Cathedral.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193fadac881908579b5729718ee41 |
completed | April 29, 2026, 5:15 a.m. |
Created at: April 17, 2026, 4:11 p.m.